PERFORMANCE EVALUATION USING NETWORK DATA ENVELOPMENT ANALYSIS APPROACH WITH GAME THEORY UNDER MIXED GREY-FUZZY UNCERTAINTY IN IRAN KHODRO COMPANY
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Creator Maryam Tabasi, Mehrzad Navabakhsh, Ashkan HafezalKotob, Reza Tavakkoli-Moghaddam
Title PERFORMANCE EVALUATION USING NETWORK DATA ENVELOPMENT ANALYSIS APPROACH WITH GAME THEORY UNDER MIXED GREY-FUZZY UNCERTAINTY IN IRAN KHODRO COMPANY
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Publisher TuEngr Group
Publication Year 2562
Journal Title International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies
Journal Vol. 10
Journal No. 13
Page no. 10A13L: 1-19
Keyword Fuzzy Sets Theory, Grey Theory, DEA, Stackelberg game, Centralized game, Nash game, Decision making unit (DMU).
URL Website http://tuengr.com/Vol10_13.html
Website title ITJEMAST V10(13) 2019 @ TuEngr.com
ISSN 2228-9860
Abstract Standard Data Envelopment Analysis (DEA) is a method for performance evaluation which does not consider the internal relations between decision making units (DMUs). Evaluating DMUs as black-boxes makes the evaluation unreal. Multistage DEA considers the internal structure of DMUs. In this article, all the outputs of first stage will be the only inputs of second stage which are also named intermediate measures. Both cooperative and non-cooperative games can be useful to obtain efficiency scores of DMUs. This study have used Nash bargaining game, Centralized and Stackelberg game to obtain efficiency of each DMU and the result show that efficiencies obtained from centralized game are the same as efficiencies obtained from Stackelberg game and they are greater than efficiencies obtained from Nash game. Also in real world the data is not always certain. We use both fuzzy and grey theory to widely manage the real situation. The case study of this article is Iran Khodro Company which is one of the most important companies at automobile industry and has a wide process of delivering for automobiles.
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